Triple

T7047441
Position Surface form Disambiguated ID Type / Status
Subject Hermann Pohlmann E163675 entity
Predicate aircraftTypeSpecialization P45618 FINISHED
Object dive bombers LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: dive bombers | Statement: [Hermann Pohlmann, aircraftTypeSpecialization, dive bombers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftTypeSpecialization
Context triple: [Hermann Pohlmann, aircraftTypeSpecialization, dive bombers]
  • A. aircraftType
    Indicates the specific model or category of aircraft associated with an entity or event.
  • B. typicalAircraftTypeCategory chosen
    Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
  • C. aircraftRoleSupported
    Indicates that a given role or function is supported or enabled for a particular aircraft.
  • D. usedByAircraftType
    Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
  • E. intendedAircraft
    Indicates that an aircraft is the one planned or designated to be used for a particular flight, mission, or operation.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e4a3c36c819080942c59f1830ae8 completed March 27, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69c6e1bb602081908bfa6186a1f5a4b4 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:37 p.m.